Quantum World Technologies Inc.
AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer in Alpharetta, GA (Hybrid) with a contract length of "unknown." The pay rate is "unknown." Key skills include model development, REST API integration, and proficiency in Python and ML frameworks. A degree in computer science or related field and 5–12 years of experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Science #Scala #ML (Machine Learning) #REST (Representational State Transfer) #Deep Learning #Azure #Python #Distributed Computing #AWS SageMaker #SageMaker #Cloud #TensorFlow #Kubernetes #Deployment #AI (Artificial Intelligence) #Visualization #AWS (Amazon Web Services) #Docker #API (Application Programming Interface) #PyTorch #REST API #GCP (Google Cloud Platform) #Leadership #NLP (Natural Language Processing) #Strategy #Computer Science
Role description
Role: AI/ML Engineer
Location: Alpharetta, GA ( Hybrid) - ONLY LOCALS
Interview Mode- L1 f2F + Client round Video
Mandatory Skills:
• Model Development & Deployment (end-to-end lifecycle)
• REST API Integration for ML models
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch)
• Solid understanding of ML algorithms and statistical modeling
Preferred Skills:
• Experience with NLP and Deep Learning techniques
• Familiarity with Cloud ML Platforms (AWS SageMaker, Azure AI, GCP AI Platform)
• Knowledge of scalable ML systems and distributed computing
• Exposure to AI strategy leadership and solution architecture
Qualifications:
• Bachelor’s or master’s degree in computer science, Data Science, or related field
• 5–12 years of experience in AI/ML engineering roles
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
Nice to Have:
• Experience with MLOps tools and CI/CD pipelines
• Knowledge of containerization (Docker, Kubernetes)
• Familiarity with data visualization and reporting tools
Role: AI/ML Engineer
Location: Alpharetta, GA ( Hybrid) - ONLY LOCALS
Interview Mode- L1 f2F + Client round Video
Mandatory Skills:
• Model Development & Deployment (end-to-end lifecycle)
• REST API Integration for ML models
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch)
• Solid understanding of ML algorithms and statistical modeling
Preferred Skills:
• Experience with NLP and Deep Learning techniques
• Familiarity with Cloud ML Platforms (AWS SageMaker, Azure AI, GCP AI Platform)
• Knowledge of scalable ML systems and distributed computing
• Exposure to AI strategy leadership and solution architecture
Qualifications:
• Bachelor’s or master’s degree in computer science, Data Science, or related field
• 5–12 years of experience in AI/ML engineering roles
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
Nice to Have:
• Experience with MLOps tools and CI/CD pipelines
• Knowledge of containerization (Docker, Kubernetes)
• Familiarity with data visualization and reporting tools
